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Hui Feng 冯慧
(Hui Feng)

Personal Details

First Name:Hui
Middle Name:
Last Name:Feng
Suffix:
RePEc Short-ID:pfe59
[This author has chosen not to make the email address public]
Department of Economics, Business and Math Kings University College of the University of Western Ontario London, On Canada

Affiliation

(in no particular order)

Department of Economics
University of Victoria

Victoria, Canada
https://www.uvic.ca/socialsciences/economics/
RePEc:edi:devicca (more details at EDIRC)

Department of Economics and Finance
King's University College
University of Western Ontario

London, Canada
https://www.kings.uwo.ca/academics/school-of-management-economics-and-mathematics/economics-and-finance/
RePEc:edi:dekinca (more details at EDIRC)

Research output

as
Jump to: Working papers Articles

Working papers

  1. Hui Feng & David E. Giles, 2007. "Bayesian Fuzzy Regression Analysis and Model Selection: Theory and Evidence," Econometrics Working Papers 0710, Department of Economics, University of Victoria.
  2. Hui Feng, 2005. "Real-Time or Current Vintage: Does the Type of Data Matter for Forecasting and Model Selection?," Econometrics Working Papers 0515, Department of Economics, University of Victoria.
  3. David E.A. Giles & Hui Feng, 2003. "Testing For Convergence in Output and in 'Well-Being' in Industrialized Countries," Econometrics Working Papers 0302, Department of Economics, University of Victoria.
  4. Hui Feng & Jia Liu, 2002. "A SETAR Model for Canadian GDP: Non-Linearities and Forecast Comparisons," Econometrics Working Papers 0206, Department of Economics, University of Victoria.

Articles

  1. Giles, David E.A. & Feng, Hui, 2005. "Output and well-being in industrialized nations in the second half of the 20th century: testing for convergence using fuzzy clustering analysis," Structural Change and Economic Dynamics, Elsevier, vol. 16(2), pages 285-308, June.
  2. Hui Feng & Jia Liu, 2003. "A SETAR model for Canadian GDP: non-linearities and forecast comparisons," Applied Economics, Taylor & Francis Journals, vol. 35(18), pages 1957-1964.

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Hui Feng & David E. Giles, 2007. "Bayesian Fuzzy Regression Analysis and Model Selection: Theory and Evidence," Econometrics Working Papers 0710, Department of Economics, University of Victoria.

    Cited by:

    1. Hui Feng, 2011. "Forecasting comparison between two nonlinear models: fuzzy regression versus SETAR," Applied Economics Letters, Taylor & Francis Journals, vol. 18(17), pages 1623-1627.

  2. David E.A. Giles & Hui Feng, 2003. "Testing For Convergence in Output and in 'Well-Being' in Industrialized Countries," Econometrics Working Papers 0302, Department of Economics, University of Victoria.

    Cited by:

    1. Chad Stroomer & David E.A. Giles, 2003. "Income Convergence and trade Openness: Fuzzy Clustering and Time Series Evidence," Econometrics Working Papers 0304, Department of Economics, University of Victoria.
    2. David E. A. Giles & Carl Mosk, 2003. "Ruminant Eructation and a Long-Run Environmental Kuznets' Curve for Enteric Methane in New Zealand: Conventional and Fuzzy Regression Analysis," Econometrics Working Papers 0306, Department of Economics, University of Victoria.
    3. David E. Giles & Chad N. Stroomer, 2005. "Does Trade Openness Affect the Speed of Output Convergence? Some Empirical Evidence," Econometrics Working Papers 0509, Department of Economics, University of Victoria.

  3. Hui Feng & Jia Liu, 2002. "A SETAR Model for Canadian GDP: Non-Linearities and Forecast Comparisons," Econometrics Working Papers 0206, Department of Economics, University of Victoria.

    Cited by:

    1. Hui Feng, 2009. "Real-time or current vintage: does the type of data matter for forecasting and model selection?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 28(3), pages 183-193.
    2. Cai, Yuzhi, 2007. "A quantile approach to US GNP," Economic Modelling, Elsevier, vol. 24(6), pages 969-979, November.
    3. Grabowski Daniel & Staszewska-Bystrova Anna & Winker Peter, 2017. "Generating prediction bands for path forecasts from SETAR models," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 21(5), pages 1-18, December.
    4. Miquel Clar & Juan-Carlos Duque & Rosina Moreno, 2007. "Forecasting business and consumer surveys indicators-a time-series models competition," Applied Economics, Taylor & Francis Journals, vol. 39(20), pages 2565-2580.
    5. Tarlok Singh, 2012. "Testing nonlinearities in economic growth in the OECD countries: an evidence from SETAR and STAR models," Applied Economics, Taylor & Francis Journals, vol. 44(30), pages 3887-3908, October.

Articles

  1. Giles, David E.A. & Feng, Hui, 2005. "Output and well-being in industrialized nations in the second half of the 20th century: testing for convergence using fuzzy clustering analysis," Structural Change and Economic Dynamics, Elsevier, vol. 16(2), pages 285-308, June.

    Cited by:

    1. Isabel Gallego-Álvarez & Mª Galindo-Villardón & Miguel Rodríguez-Rosa, 2015. "Analysis of the Sustainable Society Index Worldwide: A Study from the Biplot Perspective," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 120(1), pages 29-65, January.
    2. Welsch, Heinz & Bonn, Udo, 2008. "Economic convergence and life satisfaction in the European Union," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 37(3), pages 1153-1167, June.
    3. Cuffaro, Miranda & Cracolici, Maria Francesca & Nijkamp, Peter, 2007. "Measuring the performance of Italian regions: on social and economic dimensions," Serie Research Memoranda 0013, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    4. Maria Cracolici & Miranda Cuffaro & Peter Nijkamp, 2010. "The Measurement of Economic, Social and Environmental Performance of Countries: A Novel Approach," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 95(2), pages 339-356, January.
    5. Maria Francesca Cracolici & Miranda Cuffaro & Peter Nijkamp, 2008. "Analysis of Spatial Disparities by a Structural Equations Model," Tinbergen Institute Discussion Papers 08-058/3, Tinbergen Institute.
    6. Cuffaro , Miranda & Cracolici, Maria Francesca & Nijkamp, Peter, 2006. "Economic convergence vs. socio-economic convergence in space," Serie Research Memoranda 0020, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    7. Ana-Maria HOLOBIUC, 2019. "Smart An Analysis Of The Real Convergence Within The European Union And Of The Well-Being Of The European Citizens," Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, Faculty of Management, Academy of Economic Studies, Bucharest, Romania, vol. 13(1), pages 607-614, November.
    8. Hui Feng & David E. Giles, 2007. "Bayesian Fuzzy Regression Analysis and Model Selection: Theory and Evidence," Econometrics Working Papers 0710, Department of Economics, University of Victoria.
    9. Miguel Rodríguez-Rosa & Isabel Gallego-Álvarez & Mª Purificación Vicente-Galindo & Mª Purificación Galindo-Villardón, 2017. "Are Social, Economic and Environmental Well-Being Equally Important in all Countries Around the World? A Study by Income Levels," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 131(2), pages 543-565, March.

  2. Hui Feng & Jia Liu, 2003. "A SETAR model for Canadian GDP: non-linearities and forecast comparisons," Applied Economics, Taylor & Francis Journals, vol. 35(18), pages 1957-1964.
    See citations under working paper version above.

More information

Research fields, statistics, top rankings, if available.

Statistics

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Co-authorship network on CollEc

NEP Fields

NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 2 papers announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.
  1. NEP-CBE: Cognitive and Behavioural Economics (1) 2003-04-13
  2. NEP-DEV: Development (1) 2003-04-13
  3. NEP-ETS: Econometric Time Series (1) 2005-11-09
  4. NEP-FOR: Forecasting (1) 2005-11-09
  5. NEP-LAM: Central and South America (1) 2003-04-13
  6. NEP-MAC: Macroeconomics (1) 2005-11-09

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